City innovation ability evaluation is becoming an important research field these days.The quantity and quality of patent that a city owns as well as the capability of managing patent institution indicate urban technol...City innovation ability evaluation is becoming an important research field these days.The quantity and quality of patent that a city owns as well as the capability of managing patent institution indicate urban technological innovation ability and core competence.In this work,starting from patent analysis point of view,we construct urban technological innovation ability evaluation system.Factor analysis method is applied to 15 vice-provincial cities in China to analysis the collected patent data samples and a demonstration research is indicated upon the experimental results.Experimental results show that the littoral cities in south China have distinct advantages over the others in innovation activity,innovation capability,and innovation livability and innovation contribution.In the meantime,some old industrial bases own superiority in innovation cooperation and potential.展开更多
For a city,analyzing its advantages,disadvantages and the level of economic development in a country is important,especially for the cities in China developing at flying speed.The corresponding literatures for the cit...For a city,analyzing its advantages,disadvantages and the level of economic development in a country is important,especially for the cities in China developing at flying speed.The corresponding literatures for the cities in China have not considered the indicators of economy and industry in detail.In this paper,based on multiple indicators of economy and industry,the urban hierarchical structure of 285 cities above the prefecture level in China is investigated.The indicators from the economy,industry,infrastructure,medical care,population,education,culture,and employment levels are selected to establish a new indicator system for analyzing urban hierarchical structure.The factor analysis method is used to investigate the relationship between the variables of selected indicators and obtain the score of each common factor and comprehensive scores and rankings for 285 cities above the prefecture level in China.According to the comprehensive scores,285 cities above the prefecture level are clustered into 15 levels by using K-means clustering algorithm.Then,the hierarchical structure system of the cities above the prefecture level in China is obtained and corresponding policy implications are proposed.The results and implications can not only be applied to the urban planning and development in China but also offer a reference on other developing countries.The methodologies used in this paper can also be applied to study the urban hierarchical structure in other countries.展开更多
The integrated development of central city is an important driving force for the boo-ming economy of a region. In paper, I study the level of development of the 35 central cit-ies and the?surrounding areas in China. W...The integrated development of central city is an important driving force for the boo-ming economy of a region. In paper, I study the level of development of the 35 central cit-ies and the?surrounding areas in China. With the factor analysis?model, I selecting 12 signific-ance indicators and using the SPSS 13.0 to make a rank for the 35 central cities’ develop-ment standard. Besides, making an analysis and giving some suggestions base on Chinese actual economic policies and regional realities.展开更多
文摘City innovation ability evaluation is becoming an important research field these days.The quantity and quality of patent that a city owns as well as the capability of managing patent institution indicate urban technological innovation ability and core competence.In this work,starting from patent analysis point of view,we construct urban technological innovation ability evaluation system.Factor analysis method is applied to 15 vice-provincial cities in China to analysis the collected patent data samples and a demonstration research is indicated upon the experimental results.Experimental results show that the littoral cities in south China have distinct advantages over the others in innovation activity,innovation capability,and innovation livability and innovation contribution.In the meantime,some old industrial bases own superiority in innovation cooperation and potential.
基金supported by National Key Research and Development Program of China(Grant No.2018YFC0704903).
文摘For a city,analyzing its advantages,disadvantages and the level of economic development in a country is important,especially for the cities in China developing at flying speed.The corresponding literatures for the cities in China have not considered the indicators of economy and industry in detail.In this paper,based on multiple indicators of economy and industry,the urban hierarchical structure of 285 cities above the prefecture level in China is investigated.The indicators from the economy,industry,infrastructure,medical care,population,education,culture,and employment levels are selected to establish a new indicator system for analyzing urban hierarchical structure.The factor analysis method is used to investigate the relationship between the variables of selected indicators and obtain the score of each common factor and comprehensive scores and rankings for 285 cities above the prefecture level in China.According to the comprehensive scores,285 cities above the prefecture level are clustered into 15 levels by using K-means clustering algorithm.Then,the hierarchical structure system of the cities above the prefecture level in China is obtained and corresponding policy implications are proposed.The results and implications can not only be applied to the urban planning and development in China but also offer a reference on other developing countries.The methodologies used in this paper can also be applied to study the urban hierarchical structure in other countries.
文摘The integrated development of central city is an important driving force for the boo-ming economy of a region. In paper, I study the level of development of the 35 central cit-ies and the?surrounding areas in China. With the factor analysis?model, I selecting 12 signific-ance indicators and using the SPSS 13.0 to make a rank for the 35 central cities’ develop-ment standard. Besides, making an analysis and giving some suggestions base on Chinese actual economic policies and regional realities.
